Triple
T20029576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergstraße wine-growing area |
E495083
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Auerbach |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Auerbach | Statement: [Bergstraße wine-growing area, hasTown, Auerbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auerbach Context triple: [Bergstraße wine-growing area, hasTown, Auerbach]
-
A.
Auerbach
chosen
Auerbach is a German-origin surname borne by numerous notable figures in fields such as literature, music, sports, and academia.
-
B.
McAdoo
McAdoo is a small unincorporated rural community located in Dickens County, Texas.
-
C.
Walton Hale Hamilton
Walton Hale Hamilton was an American institutional economist and legal scholar known for his influential work on antitrust policy and the development of institutional economics in the early 20th century.
-
D.
Montalbert
Montalbert is a village-level ski resort area that forms part of the larger La Plagne ski domain in the French Alps.
-
E.
Bruklin Harris
Bruklin Harris is an American actress best known for her role in the 1995 drama film "Dangerous Minds."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662908df081909a6c8ccf0dd90fff |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:36 p.m.